1 Source of the data

The data is compiled from https://github.com/CSSEGISandData/COVID-19.

The python script script.py is a modification of https://github.com/JacopoPan/JHU-2019nCoV-to-pandas-DF

Here I avoided any data modeling and am just showing the raw number of diagnosed patients, deaths, death rate, new cases by day, and new deaths by day.

2 Top countries by cases and deaths

3 Total morbidity

## Using date as id variables
## Warning: Removed 146 row(s) containing missing values (geom_path).
## geom_path: Each group consists of only one observation. Do you need to adjust
## the group aesthetic?
## geom_path: Each group consists of only one observation. Do you need to adjust
## the group aesthetic?
## geom_path: Each group consists of only one observation. Do you need to adjust
## the group aesthetic?
## Warning: Removed 21 row(s) containing missing values (geom_path).

5 Total COVID-19 patients

## Using date as id variables
## Warning: Removed 151 row(s) containing missing values (geom_path).
## Warning: Removed 11 row(s) containing missing values (geom_path).

5.4 Death rate

The two countries which succeeded in stopping the spread, China and South Korea, provide the most accurate measurement of true death rate. In the death rate plot below, the range of the death rate of these two countries is shown by pink.

## Using date as id variables
## Using date as id variables

6 Canada

## Using Province/State as id variables
## Using Province/State as id variables
## geom_path: Each group consists of only one observation. Do you need to adjust
## the group aesthetic?
## Warning: Removed 126 row(s) containing missing values (geom_path).
## geom_path: Each group consists of only one observation. Do you need to adjust
## the group aesthetic?
## Warning: Removed 14 row(s) containing missing values (geom_path).

6.1 Canada’s deaths

## Using Province/State as id variables
## Using Province/State as id variables
## geom_path: Each group consists of only one observation. Do you need to adjust
## the group aesthetic?
## Warning: Removed 87 row(s) containing missing values (geom_path).
## Warning: Removed 2 row(s) containing missing values (geom_path).